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Kinel’-Cherkassy

City in Samara, Russia

Overview

Kinel'-Cherkassy is a small town situated in the Samara region of Russia, known for its tranquil environment and proximity to natural landscapes. Visitors will experience authentic local culture and a slower pace compared to larger cities.

Geographic Context

Jurisdiction
Russia
Administrative Region
Samara
Population
—
Time Zone
Europe/Moscow
Coordinates
53.47°, 51.47°

Key Metrics

Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
20
Traffic Safety
65
Food Safety
75
Monthly Cost · estimate
$758
Local Cost
$412
Local Income
$250
Cashless
45
English
15
Temperature
4.3°C
Summer Avg
20.1°C
Winter Avg
-12.5°C
Record High
40.8°C
Record Low
-40.6°C
Humidity
79%
Precipitation
537 mm
Internet Speed
3 Mbps
Upload
1 Mbps
Latency
35 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2
Transport
16
Walk Score
16
Footways
31.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-10.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-06.

Estimates and unverified origins

Oyster List climate data - Climate origins are unverified. Available methods include historical APIs and AI estimates; stored rows do not identify the original dataset, reference period, or model for each value. Treat these summaries as estimates until independently verified. Record updated 2026-03-21.
Oyster List city price estimates - Price origins are unverified. Available generation methods include AI estimates; stored records do not identify a survey, observation period, or model for each price. Record updated 2026-01-14.
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores include model-assisted estimates. Stored records do not identify supporting observations for each score. Model-reported confidence: 47/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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